CatBoost
State-of-the-art open-source gradient boosting on decision trees library with categorical features support.
What it does
State-of-the-art open-source gradient boosting on decision trees library with categorical features support. Offers Python, R, and command-line interfaces; integrates with scikit-learn; supports custom loss functions.
- ranking tasks
- forecasting
- making recommendations
- general machine learning on tabular data with categorical features
- Category
- Developer tools and platforms
- Users
- machine learning engineers, data scientists, researchers
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
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Security and compliance
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